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spatialkit  

Spatial Tessellation, Modeling, and Cross-Validation Toolkit
View on CRAN: Click here


Download and install spatialkit package within the R console
Install from CRAN:
install.packages("spatialkit")

Install from Github:
library("remotes")
install_github("cran/spatialkit")

Install by package version:
library("remotes")
install_version("spatialkit", "2.0.0")



Attach the package and use:
library("spatialkit")
Maintained by
Justin Chase
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-07
Latest Update: 2026-08-07
Description:
A modular toolkit for spatial analysis workflows including coordinate reference system management, Voronoi/Delaunay/grid tessellation, feature-to-polygon assignment, geographically weighted regression (GWR, via 'GWmodel'), Bayesian spatial Gaussian process regression (via 'brms'), spatial cross-validation with block and buffered strategies, and model comparison. Provides an S3 class system ('spatial_fit') with consistent predict, fitted, and residuals methods across model backends.
How to cite:
Justin Chase (2026). spatialkit: Spatial Tessellation, Modeling, and Cross-Validation Toolkit. R package version 2.0.0, https://cran.r-project.org/web/packages/spatialkit. Accessed 13 Oct. 2026.
Previous versions and publish date:
(2026-09-11 09:01), 1.0.0 (2026-08-07 18:40)
Other packages that cited spatialkit R package
View spatialkit citation profile
Other R packages that spatialkit depends, imports, suggests or enhances
Complete documentation for spatialkit
Functions, R codes and Examples using the spatialkit R package
Full spatialkit package functions and examples
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